
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "155"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 88 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 84 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	9.516040	10.908191	76.700035	79.641007	21.417626	26.755162	27.965854	31.692514	0.0661	0.0698	0.0010	1.948360	2.246710
2459593	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.839923	15.021614	80.656760	84.592454	31.462007	39.460183	13.299204	11.961154	0.0661	0.0679	-0.0001	1.318530	1.346307
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	1.776877	2.256755	6.166588	6.371191	2.174888	9.937892	-1.386918	1.160961	0.0327	0.0345	0.0018	nan	nan
2459591	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.104934	18.582217	94.172243	97.688498	26.893394	34.020450	1.849583	3.513725	0.0664	0.0661	0.0004	2.026517	2.339418
2459590	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.981900	23.550825	87.544493	90.988756	29.139140	35.604077	3.700684	7.236966	0.0694	0.0703	0.0000	2.575175	3.140186
2459589	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.841593	20.610102	81.459242	84.417361	17.088217	23.216413	19.254646	18.063825	0.0686	0.0712	0.0008	1.914061	2.170783
2459588	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.482856	15.026844	98.864180	103.742552	22.023552	25.034479	14.711285	13.771148	0.0688	0.0719	0.0007	2.072566	2.351484
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	17.515525	19.393547	132.046403	137.628865	6.171521	8.139774	9.763518	12.688625	nan	nan	nan	1.640935	1.689499
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.164289	15.167125	31.073358	31.831219	10.086379	12.267234	5.590349	8.104836	0.0568	0.0574	0.0003	1.527447	1.776331
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.831609	28.463891	9.638922	10.314116	9.237174	10.002635	1.950608	6.493928	0.0366	0.0371	0.0003	0.000000	0.000000
2459584	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.012320	22.535000	109.176005	113.297653	15.072975	18.057684	4.567341	5.062118	0.0507	0.0533	0.0015	1.545343	1.637545
2459583	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.384106	15.871056	33.673175	34.941670	19.977231	23.684152	0.240257	0.936600	0.0569	0.0542	0.0020	1.445611	1.495707
2459582	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	13.563696	14.196623	30.297376	31.741602	24.207563	28.904413	0.382276	1.257118	0.0573	0.0556	0.0011	1.422783	1.461503
2459581	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459580	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.380353	14.690701	35.276740	36.733317	21.310064	24.505299	0.107694	0.996799	0.0627	0.0582	0.0019	1.452331	1.511514
2459579	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.003197	14.173278	39.968988	41.779786	23.683384	27.584964	1.700086	2.926267	0.0497	0.0453	0.0020	1.357593	1.349166
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	2.427660	2.190790	2.350958	2.238545	2.504528	4.923835	2.159367	4.331511	0.0317	0.0298	0.0010	nan	nan
2459577	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.585394	19.330033	32.638519	33.516649	21.371922	25.482679	0.473924	1.199089	0.0563	0.0556	0.0010	1.355884	1.430264
2459576	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.728178	15.491303	25.970252	26.902753	19.309907	22.262439	1.226259	1.804925	0.0609	0.0611	0.0014	1.401495	1.418955
2459575	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.446989	15.319514	25.656417	26.730534	15.914504	17.347715	7.354923	6.511527	0.0618	0.0610	0.0012	1.708877	1.821798
2459574	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.140316	15.001838	24.657415	25.546332	20.674181	24.370909	1.386725	1.192402	0.0592	0.0602	0.0008	1.657010	1.770968
2459573	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.437671	14.944358	42.415664	43.916643	25.020526	28.713511	1.192521	2.641053	0.0591	0.0599	0.0008	1.754647	1.920263
2459572	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.552090	15.539534	24.778925	25.699004	16.104623	18.071532	2.602607	4.104822	0.0617	0.0612	0.0014	1.653286	1.762930
2459571	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	1.850456	1.779622	2.257681	2.331248	2.531822	4.355444	1.810057	4.330589	0.0333	0.0297	0.0014	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.578854	18.543447	14.749951	15.635869	1.395081	1.887364	4.544881	6.940640	0.0803	0.0853	0.0042	1.026408	1.026471
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.413297	17.517683	32.607236	33.408814	10.526092	10.930210	8.398820	9.247878	0.0637	0.0629	0.0011	1.405236	1.480054
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.043055	13.846472	32.364969	33.359999	19.223791	22.108050	-0.131191	0.482415	0.0490	0.0467	0.0017	1.407562	1.461873
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	-0.474250	-0.474250	-0.491922	-0.491922	1.366555	1.366555	0.674491	0.674491	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459563	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.483950	15.533860	65.542016	67.498271	19.792249	23.147117	1.810769	3.449229	0.0630	0.0633	0.0014	1.648324	1.755278
2459562	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	8.847303	8.431760	16.868204	17.448797	2.571924	2.787890	0.738595	1.184831	0.0581	0.0556	0.0017	1.475649	1.532082
2459561	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	9.556982	8.831615	16.059011	16.607062	2.848089	3.155404	1.168100	1.958041	0.0553	0.0485	0.0040	1.269013	1.284089
2459560	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	8.864917	8.270392	16.502489	16.861497	2.680562	3.255897	0.768688	1.204866	0.0521	0.0434	0.0060	1.350268	1.331152
2459559	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.127834	10.405849	18.028031	18.493590	3.091647	3.565276	1.042322	1.645547	0.0583	0.0527	0.0032	1.392287	1.420955
2459558	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.195444	15.348909	33.753800	35.422890	21.837081	23.641540	1.385696	2.390875	0.0448	0.0423	-0.0000	1.295085	1.305355
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0317	0.0289	0.0004	nan	nan
2459556	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.044383	15.091040	36.519468	38.256367	19.645448	21.749276	3.205609	5.425688	0.0580	0.0549	0.0018	1.392292	1.473735
2459554	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0587	0.0592	0.0006	nan	nan
2459553	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0597	0.0558	0.0027	nan	nan
2459552	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.335617	17.764407	49.305824	50.461692	29.161604	33.027871	3.303665	3.900590	0.0533	0.0527	0.0014	1.415388	1.436972
2459551	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	8.987026	8.563890	19.968583	20.483659	3.547170	4.598828	1.205290	1.716512	0.0581	0.0570	0.0015	1.437240	1.538653
2459550	RF_maintenance	-	99.18%	99.18%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0358	0.0349	-0.0000	nan	nan
2459549	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	13.678541	12.210854	37.075138	38.111710	21.210365	23.354113	1.255585	2.122477	0.0528	0.0515	0.0020	1.299009	1.297595
2459542	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	9.200165	9.064321	30.180242	31.176138	320.907430	326.388649	80.983994	83.619276	0.0530	0.0534	0.0012	1.312730	1.326335
2459540	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	12.712811	11.622063	16.763626	17.556087	4.221010	5.311938	0.745784	1.256342	0.0549	0.0550	0.0013	1.442435	1.532167
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	23.808689	20.443546	64.261738	65.715303	29.770289	32.560287	2.798922	3.172744	0.0454	0.0435	0.0011	0.000000	0.000000
2459535	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	9.893807	9.324606	15.583562	16.107920	2.183278	5.550509	0.268750	0.977639	0.0597	0.0582	0.0023	1.436046	1.490575
2459534	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.559397	9.439639	14.476375	14.893438	2.286760	3.921168	0.137160	0.492679	0.0510	0.0489	0.0017	1.282692	1.297695
2459533	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.447180	14.902303	34.518714	35.750534	18.214031	20.866799	1.321439	2.762573	0.0512	0.0510	0.0006	1.520587	1.615595
2459532	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.194085	17.348199	46.556262	48.483776	22.412981	25.807442	0.826432	1.806992	0.0520	0.0509	0.0009	1.338042	1.351086
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459522	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459513	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	2.274274	2.542556	2.366853	2.552377	3.692565	10.378487	1.554413	5.674578	0.0357	0.0313	-0.0002	nan	nan
2459508	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.827450	25.155356	48.994943	51.044785	18.258899	15.733912	12.916437	15.052946	0.0530	0.0580	0.0027	0.000000	0.000000
2459505	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.623280	26.363020	45.953103	49.395063	6.943279	9.891126	0.952443	3.048618	0.0364	0.0403	0.0035	1.250252	1.259974
2459503	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.037598	25.728668	81.224556	83.620776	33.986670	33.521894	2.442010	4.032883	0.0478	0.0458	0.0043	0.000000	0.000000
2459501	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.010154	19.027234	54.508954	56.354509	27.210498	26.630519	1.792093	1.639491	0.0560	0.0636	0.0010	0.000000	0.000000
2459500	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.061299	23.396869	66.738107	68.646478	27.153718	27.134512	0.810248	1.614676	0.0537	0.0620	0.0005	0.000000	0.000000
2459499	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.943176	25.426744	85.915677	88.549921	27.258701	27.496638	3.740012	12.702810	0.0517	0.0608	0.0021	0.000000	0.000000
2459498	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.642865	21.775793	76.990161	79.149097	24.315315	24.357734	4.206505	5.534837	0.0607	0.0692	0.0016	0.000000	0.000000
2459497	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.976695	24.553842	86.774382	89.312245	31.340111	31.514439	2.842635	4.371971	0.0621	0.0686	0.0003	0.000000	0.000000
2459496	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.309983	26.775489	78.992188	81.157199	27.846271	28.499363	1.711146	2.845622	0.0476	0.0525	-0.0018	0.000000	0.000000
2459495	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.122398	21.774670	73.684014	75.587314	24.050359	25.011167	2.479820	3.531438	0.0451	0.0568	0.0030	0.000000	0.000000
2459494	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	23.446383	23.995444	78.335567	80.522852	26.877911	27.862392	6.136416	8.080405	0.0413	0.0499	0.0017	0.000000	0.000000
2459492	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	25.550984	25.564852	55.535965	57.278893	23.208700	28.301774	6.269051	8.537556	0.0452	0.0561	0.0039	0.000000	0.000000
2459491	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.790760	24.326542	60.364964	62.766260	32.213083	42.650386	4.293655	13.180745	0.0466	0.0560	0.0023	0.000000	0.000000
2459490	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	29.674053	28.621660	63.362993	65.139988	22.121692	26.347594	5.241872	7.475159	0.0548	0.0692	0.0037	0.000000	0.000000
2459489	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.099673	22.679537	57.324509	59.215284	21.463267	27.609966	4.481368	9.107044	0.0511	0.0630	0.0023	0.000000	0.000000
2459488	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	23.816588	22.154635	47.782855	49.095659	23.871628	30.156126	7.387017	12.479199	0.0539	0.0666	0.0033	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 155 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 155, Node 12:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 155: 2459612

Antenna 155: 2459611

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Antenna 155: 2459508

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Antenna 155: 2459500

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶